A Mutual Projection based Proportional Features Selection for Face Identification
Singaravelan. S, Murugan. D
Journal of Multimedia Processing and Technologies, Vol. 10, No. 1, 2019.
DOI: https://doi.org/10.6025/jmpt/2019/10/1/27-39
Link: http://www.dline.info/jmpt/fulltext/v10n1/jmptv10n1_3.pdf
Abstract:
A analysis of human facial images has become increasingly important due to its numerous applications. In this regards, extracting facial parameter is vital and various studies have been done in this field. Hence in our proposed work, first time up to our knowledge, a robust automatic method is introduced for determining facial angles from profile view
images using radon transform. Radon transform is a kind of linear integration along a specific direction and angles play an
important role to do this transform. The global features were rather considered by constructing a linear discriminant analysis (LDA) and also local features were rather considered by locality preserving projection (LPP). Our proposed combined algorithm has not only good precision, but also efficient performance and robust with noisy, scale and rotated
image environments. In this work, several experiments have been conducted to analyze the robustness of our proposed Radon Combined Global and Local Preserving Features (RCGLPF) algorithm along with other existing conventional algorithms.